Overview

Brought to you by YData

Dataset statistics

Number of variables10
Number of observations1048575
Missing cells5898129
Missing cells (%)56.2%
Duplicate rows30893
Duplicate rows (%)2.9%
Total size in memory80.0 MiB
Average record size in memory80.0 B

Variable types

Categorical2
Text8

Alerts

Carrier has constant value "BSNL MOBILE"Constant
Dataset has 30893 (2.9%) duplicate rowsDuplicates
Name has 60334 (5.8%) missing valuesMissing
Gender has 1003236 (95.7%) missing valuesMissing
JobTitle has 1022814 (97.5%) missing valuesMissing
CompanyName has 1030447 (98.3%) missing valuesMissing
Email has 712816 (68.0%) missing valuesMissing
Facebook has 1027992 (98.0%) missing valuesMissing
Twitter has 1037773 (99.0%) missing valuesMissing

Reproduction

Analysis started2024-07-17 22:08:08.560670
Analysis finished2024-07-17 22:08:47.173003
Duration38.61 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

Number
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size8.0 MiB
919000000000.0
820594 
918000000000.0
124814 
917000000000.0
103167 

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters14680050
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row917000000000.0
2nd row917000000000.0
3rd row917000000000.0
4th row917000000000.0
5th row917000000000.0

Common Values

ValueCountFrequency (%)
919000000000.0 820594
78.3%
918000000000.0 124814
 
11.9%
917000000000.0 103167
 
9.8%

Length

2024-07-18T03:38:47.298373image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-18T03:38:47.480880image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
ValueCountFrequency (%)
919000000000.0 820594
78.3%
918000000000.0 124814
 
11.9%
917000000000.0 103167
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0 10485750
71.4%
9 1869169
 
12.7%
1 1048575
 
7.1%
. 1048575
 
7.1%
8 124814
 
0.9%
7 103167
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13631475
92.9%
Other Punctuation 1048575
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10485750
76.9%
9 1869169
 
13.7%
1 1048575
 
7.7%
8 124814
 
0.9%
7 103167
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 1048575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14680050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10485750
71.4%
9 1869169
 
12.7%
1 1048575
 
7.1%
. 1048575
 
7.1%
8 124814
 
0.9%
7 103167
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14680050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10485750
71.4%
9 1869169
 
12.7%
1 1048575
 
7.1%
. 1048575
 
7.1%
8 124814
 
0.9%
7 103167
 
0.7%

Carrier
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size8.0 MiB
BSNL MOBILE
1048575 

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11534325
Distinct characters9
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBSNL MOBILE
2nd rowBSNL MOBILE
3rd rowBSNL MOBILE
4th rowBSNL MOBILE
5th rowBSNL MOBILE

Common Values

ValueCountFrequency (%)
BSNL MOBILE 1048575
100.0%

Length

2024-07-18T03:38:47.677282image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-18T03:38:47.825218image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
ValueCountFrequency (%)
bsnl 1048575
50.0%
mobile 1048575
50.0%

Most occurring characters

ValueCountFrequency (%)
B 2097150
18.2%
L 2097150
18.2%
S 1048575
9.1%
N 1048575
9.1%
1048575
9.1%
M 1048575
9.1%
O 1048575
9.1%
I 1048575
9.1%
E 1048575
9.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 10485750
90.9%
Space Separator 1048575
 
9.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 2097150
20.0%
L 2097150
20.0%
S 1048575
10.0%
N 1048575
10.0%
M 1048575
10.0%
O 1048575
10.0%
I 1048575
10.0%
E 1048575
10.0%
Space Separator
ValueCountFrequency (%)
1048575
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10485750
90.9%
Common 1048575
 
9.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 2097150
20.0%
L 2097150
20.0%
S 1048575
10.0%
N 1048575
10.0%
M 1048575
10.0%
O 1048575
10.0%
I 1048575
10.0%
E 1048575
10.0%
Common
ValueCountFrequency (%)
1048575
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11534325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B 2097150
18.2%
L 2097150
18.2%
S 1048575
9.1%
N 1048575
9.1%
1048575
9.1%
M 1048575
9.1%
O 1048575
9.1%
I 1048575
9.1%
E 1048575
9.1%

Name
Text

MISSING 

Distinct716717
Distinct (%)72.5%
Missing60334
Missing (%)5.8%
Memory size8.0 MiB
2024-07-18T03:38:48.708941image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length1623
Median length161
Mean length13.176837
Min length1

Characters and Unicode

Total characters13021891
Distinct characters197
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique664753 ?
Unique (%)67.3%

Sample

1st rowJikku Ayush Kids
2nd rowGoswami Ritu
3rd rowSruthi
4th rowArshiya Kadiri
5th rowSingampalli Naresh
ValueCountFrequency (%)
reddy 45390
 
2.2%
kumar 27207
 
1.3%
rao 25770
 
1.2%
k 19798
 
0.9%
s 16036
 
0.8%
m 15343
 
0.7%
krishna 14050
 
0.7%
p 13866
 
0.7%
raju 13332
 
0.6%
prasad 12706
 
0.6%
Other values (230060) 1891934
90.3%
2024-07-18T03:38:49.967361image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2210093
17.0%
1107756
 
8.5%
i 766624
 
5.9%
r 731407
 
5.6%
n 683385
 
5.2%
h 615590
 
4.7%
e 550117
 
4.2%
u 501327
 
3.8%
d 452484
 
3.5%
s 377404
 
2.9%
Other values (187) 5025704
38.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9586887
73.6%
Uppercase Letter 2079253
 
16.0%
Space Separator 1108128
 
8.5%
Other Punctuation 108029
 
0.8%
Decimal Number 78261
 
0.6%
Other Symbol 34473
 
0.3%
Math Symbol 11205
 
0.1%
Dash Punctuation 6535
 
0.1%
Open Punctuation 2921
 
< 0.1%
Currency Symbol 2359
 
< 0.1%
Other values (7) 3840
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 334873
16.1%
R 245314
11.8%
K 170898
 
8.2%
M 157101
 
7.6%
P 145199
 
7.0%
A 131141
 
6.3%
B 119840
 
5.8%
V 114483
 
5.5%
N 103135
 
5.0%
G 85696
 
4.1%
Other values (56) 471573
22.7%
Lowercase Letter
ValueCountFrequency (%)
a 2210093
23.1%
i 766624
 
8.0%
r 731407
 
7.6%
n 683385
 
7.1%
h 615590
 
6.4%
e 550117
 
5.7%
u 501327
 
5.2%
d 452484
 
4.7%
s 377404
 
3.9%
m 361429
 
3.8%
Other values (47) 2337027
24.4%
Other Punctuation
ValueCountFrequency (%)
. 92224
85.4%
@ 2075
 
1.9%
1681
 
1.6%
' 1474
 
1.4%
§ 1164
 
1.1%
1109
 
1.0%
1099
 
1.0%
* 1082
 
1.0%
& 1070
 
1.0%
1024
 
0.9%
Other values (11) 4027
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 18533
23.7%
1 14094
18.0%
0 7814
10.0%
3 6920
 
8.8%
4 6744
 
8.6%
9 6016
 
7.7%
8 4917
 
6.3%
5 4914
 
6.3%
7 4551
 
5.8%
6 3758
 
4.8%
Math Symbol
ValueCountFrequency (%)
± 9873
88.1%
¬ 1058
 
9.4%
| 111
 
1.0%
+ 88
 
0.8%
~ 48
 
0.4%
= 11
 
0.1%
< 10
 
0.1%
> 6
 
0.1%
Other Symbol
ValueCountFrequency (%)
° 29772
86.4%
® 2143
 
6.2%
¦ 1052
 
3.1%
672
 
1.9%
© 566
 
1.6%
268
 
0.8%
Open Punctuation
ValueCountFrequency (%)
1819
62.3%
( 556
 
19.0%
502
 
17.2%
{ 32
 
1.1%
[ 12
 
0.4%
Initial Punctuation
ValueCountFrequency (%)
515
49.3%
214
20.5%
« 208
19.9%
107
 
10.2%
Final Punctuation
ValueCountFrequency (%)
» 188
35.7%
137
26.0%
101
19.2%
100
19.0%
Dash Punctuation
ValueCountFrequency (%)
- 5588
85.5%
808
 
12.4%
139
 
2.1%
Currency Symbol
ValueCountFrequency (%)
¤ 1334
56.5%
$ 537
22.8%
488
 
20.7%
Close Punctuation
ValueCountFrequency (%)
) 613
92.7%
} 34
 
5.1%
] 14
 
2.1%
Space Separator
ValueCountFrequency (%)
1107756
> 99.9%
  372
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
^ 37
69.8%
` 16
30.2%
Control
ValueCountFrequency (%)
˜ 625
100.0%
Format
ValueCountFrequency (%)
­ 539
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11578019
88.9%
Common 1357891
 
10.4%
Cyrillic 85981
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1107756
81.6%
. 92224
 
6.8%
° 29772
 
2.2%
2 18533
 
1.4%
1 14094
 
1.0%
± 9873
 
0.7%
0 7814
 
0.6%
3 6920
 
0.5%
4 6744
 
0.5%
9 6016
 
0.4%
Other values (65) 58145
 
4.3%
Cyrillic
ValueCountFrequency (%)
а 39656
46.1%
Ќ 4727
 
5.5%
Г 3407
 
4.0%
Ш 3227
 
3.8%
Ё 3048
 
3.5%
ѕ 2916
 
3.4%
ї 2653
 
3.1%
Щ 2233
 
2.6%
Ѓ 2200
 
2.6%
І 1707
 
2.0%
Other values (60) 20207
23.5%
Latin
ValueCountFrequency (%)
a 2210093
19.1%
i 766624
 
6.6%
r 731407
 
6.3%
n 683385
 
5.9%
h 615590
 
5.3%
e 550117
 
4.8%
u 501327
 
4.3%
d 452484
 
3.9%
s 377404
 
3.3%
m 361429
 
3.1%
Other values (42) 4328159
37.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12872594
98.9%
Cyrillic 85981
 
0.7%
None 52426
 
0.4%
Punctuation 9462
 
0.1%
Letterlike Symbols 940
 
< 0.1%
Currency Symbols 488
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2210093
17.2%
1107756
 
8.6%
i 766624
 
6.0%
r 731407
 
5.7%
n 683385
 
5.3%
h 615590
 
4.8%
e 550117
 
4.3%
u 501327
 
3.9%
d 452484
 
3.5%
s 377404
 
2.9%
Other values (83) 4876407
37.9%
Cyrillic
ValueCountFrequency (%)
а 39656
46.1%
Ќ 4727
 
5.5%
Г 3407
 
4.0%
Ш 3227
 
3.8%
Ё 3048
 
3.5%
ѕ 2916
 
3.4%
ї 2653
 
3.1%
Щ 2233
 
2.6%
Ѓ 2200
 
2.6%
І 1707
 
2.0%
Other values (60) 20207
23.5%
None
ValueCountFrequency (%)
° 29772
56.8%
± 9873
 
18.8%
® 2143
 
4.1%
µ 2140
 
4.1%
¤ 1334
 
2.5%
§ 1164
 
2.2%
¬ 1058
 
2.0%
¦ 1052
 
2.0%
772
 
1.5%
˜ 625
 
1.2%
Other values (6) 2493
 
4.8%
Punctuation
ValueCountFrequency (%)
1819
19.2%
1681
17.8%
1109
11.7%
1099
11.6%
1024
10.8%
808
8.5%
515
 
5.4%
502
 
5.3%
214
 
2.3%
139
 
1.5%
Other values (5) 552
 
5.8%
Letterlike Symbols
ValueCountFrequency (%)
672
71.5%
268
 
28.5%
Currency Symbols
ValueCountFrequency (%)
488
100.0%

Gender
Text

MISSING 

Distinct1916
Distinct (%)4.2%
Missing1003236
Missing (%)95.7%
Memory size8.0 MiB
2024-07-18T03:38:50.498528image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length84
Median length4
Mean length4.377644
Min length1

Characters and Unicode

Total characters198478
Distinct characters122
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1702 ?
Unique (%)3.8%

Sample

1st rowMALE
2nd rowMALE
3rd rowFEMALE
4th rowFEMALE
5th rowMALE
ValueCountFrequency (%)
male 37225
81.0%
female 5302
 
11.5%
v 159
 
0.3%
i 75
 
0.2%
2 70
 
0.2%
m 52
 
0.1%
k 45
 
0.1%
p 39
 
0.1%
s 39
 
0.1%
reddy 29
 
0.1%
Other values (1878) 2912
 
6.3%
2024-07-18T03:38:51.349730image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 47869
24.1%
M 42722
21.5%
A 42673
21.5%
L 42571
21.4%
F 5319
 
2.7%
2407
 
1.2%
a 2263
 
1.1%
r 955
 
0.5%
i 762
 
0.4%
n 740
 
0.4%
Other values (112) 10197
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 183084
92.2%
Lowercase Letter 12132
 
6.1%
Space Separator 2407
 
1.2%
Other Punctuation 378
 
0.2%
Decimal Number 305
 
0.2%
Other Symbol 104
 
0.1%
Math Symbol 31
 
< 0.1%
Dash Punctuation 17
 
< 0.1%
Open Punctuation 11
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 47869
26.1%
M 42722
23.3%
A 42673
23.3%
L 42571
23.3%
F 5319
 
2.9%
V 238
 
0.1%
S 224
 
0.1%
R 194
 
0.1%
K 158
 
0.1%
P 152
 
0.1%
Other values (30) 964
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 2263
18.7%
r 955
 
7.9%
i 762
 
6.3%
n 740
 
6.1%
d 659
 
5.4%
e 638
 
5.3%
u 576
 
4.7%
l 570
 
4.7%
t 567
 
4.7%
s 555
 
4.6%
Other values (28) 3847
31.7%
Other Punctuation
ValueCountFrequency (%)
. 312
82.5%
@ 8
 
2.1%
& 8
 
2.1%
! 7
 
1.9%
' 6
 
1.6%
5
 
1.3%
? 5
 
1.3%
4
 
1.1%
4
 
1.1%
4
 
1.1%
Other values (8) 15
 
4.0%
Decimal Number
ValueCountFrequency (%)
2 98
32.1%
1 51
16.7%
3 27
 
8.9%
9 27
 
8.9%
0 24
 
7.9%
4 24
 
7.9%
6 17
 
5.6%
5 14
 
4.6%
8 13
 
4.3%
7 10
 
3.3%
Other Symbol
ValueCountFrequency (%)
° 95
91.3%
® 8
 
7.7%
¦ 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
± 30
96.8%
~ 1
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 14
82.4%
3
 
17.6%
Open Punctuation
ValueCountFrequency (%)
8
72.7%
3
 
27.3%
Initial Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%
Currency Symbol
ValueCountFrequency (%)
¤ 1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
2407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Control
ValueCountFrequency (%)
˜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 195000
98.2%
Common 3270
 
1.6%
Cyrillic 208
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 47869
24.5%
M 42722
21.9%
A 42673
21.9%
L 42571
21.8%
F 5319
 
2.7%
a 2263
 
1.2%
r 955
 
0.5%
i 762
 
0.4%
n 740
 
0.4%
d 659
 
0.3%
Other values (42) 8467
 
4.3%
Common
ValueCountFrequency (%)
2407
73.6%
. 312
 
9.5%
2 98
 
3.0%
° 95
 
2.9%
1 51
 
1.6%
± 30
 
0.9%
3 27
 
0.8%
9 27
 
0.8%
0 24
 
0.7%
4 24
 
0.7%
Other values (35) 175
 
5.4%
Cyrillic
ValueCountFrequency (%)
а 118
56.7%
Ќ 15
 
7.2%
ї 10
 
4.8%
В 8
 
3.8%
џ 8
 
3.8%
Ѓ 6
 
2.9%
ѕ 5
 
2.4%
Ё 5
 
2.4%
Ў 4
 
1.9%
в 4
 
1.9%
Other values (15) 25
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198084
99.8%
Cyrillic 208
 
0.1%
None 151
 
0.1%
Punctuation 34
 
< 0.1%
Currency Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 47869
24.2%
M 42722
21.6%
A 42673
21.5%
L 42571
21.5%
F 5319
 
2.7%
2407
 
1.2%
a 2263
 
1.1%
r 955
 
0.5%
i 762
 
0.4%
n 740
 
0.4%
Other values (67) 9803
 
4.9%
Cyrillic
ValueCountFrequency (%)
а 118
56.7%
Ќ 15
 
7.2%
ї 10
 
4.8%
В 8
 
3.8%
џ 8
 
3.8%
Ѓ 6
 
2.9%
ѕ 5
 
2.4%
Ё 5
 
2.4%
Ў 4
 
1.9%
в 4
 
1.9%
Other values (15) 25
 
12.0%
None
ValueCountFrequency (%)
° 95
62.9%
± 30
 
19.9%
µ 8
 
5.3%
® 8
 
5.3%
3
 
2.0%
· 3
 
2.0%
˜ 1
 
0.7%
§ 1
 
0.7%
¤ 1
 
0.7%
¦ 1
 
0.7%
Punctuation
ValueCountFrequency (%)
8
23.5%
5
14.7%
4
11.8%
4
11.8%
4
11.8%
3
 
8.8%
3
 
8.8%
2
 
5.9%
1
 
2.9%
Currency Symbols
ValueCountFrequency (%)
1
100.0%
Distinct7642
Distinct (%)0.7%
Missing2717
Missing (%)0.3%
Memory size8.0 MiB
2024-07-18T03:38:51.930694image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length141
Median length124
Mean length15.278211
Min length1

Characters and Unicode

Total characters15978839
Distinct characters159
Distinct categories16 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6840 ?
Unique (%)0.7%

Sample

1st rowAndhra Pradesh
2nd rowAndhra Pradesh
3rd rowAndhra Pradesh
4th rowAndhra Pradesh
5th rowAndhra Pradesh in
ValueCountFrequency (%)
pradesh 939164
37.3%
andhra 939150
37.3%
in 531915
21.1%
punjab 46649
 
1.9%
kerala 23990
 
1.0%
hyderabad 5782
 
0.2%
visakhapatnam 1277
 
0.1%
vijayawada 1041
 
< 0.1%
nellore 846
 
< 0.1%
guntur 771
 
< 0.1%
Other values (7089) 27371
 
1.1%
2024-07-18T03:38:52.815991image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2032476
12.7%
1985450
12.4%
r 1923828
12.0%
d 1899605
11.9%
h 1885559
11.8%
n 1531944
9.6%
P 987141
6.2%
e 978569
6.1%
s 943360
5.9%
A 942598
5.9%
Other values (149) 868309
5.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11997033
75.1%
Uppercase Letter 1987538
 
12.4%
Space Separator 1985455
 
12.4%
Decimal Number 5472
 
< 0.1%
Other Punctuation 1312
 
< 0.1%
Other Symbol 764
 
< 0.1%
Dash Punctuation 576
 
< 0.1%
Math Symbol 237
 
< 0.1%
Open Punctuation 214
 
< 0.1%
Close Punctuation 155
 
< 0.1%
Other values (6) 83
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
P 987141
49.7%
A 942598
47.4%
K 26961
 
1.4%
H 6519
 
0.3%
V 3772
 
0.2%
N 2959
 
0.1%
R 1912
 
0.1%
S 1803
 
0.1%
T 1598
 
0.1%
G 1597
 
0.1%
Other values (41) 10678
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
a 2032476
16.9%
r 1923828
16.0%
d 1899605
15.8%
h 1885559
15.7%
n 1531944
12.8%
e 978569
8.2%
s 943360
7.9%
i 545628
 
4.5%
u 56739
 
0.5%
b 54724
 
0.5%
Other values (34) 144601
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 860
65.5%
/ 227
 
17.3%
: 36
 
2.7%
; 23
 
1.8%
21
 
1.6%
# 20
 
1.5%
18
 
1.4%
' 17
 
1.3%
& 16
 
1.2%
14
 
1.1%
Other values (9) 60
 
4.6%
Decimal Number
ValueCountFrequency (%)
0 1025
18.7%
1 975
17.8%
5 820
15.0%
2 674
12.3%
3 567
10.4%
4 427
7.8%
6 289
 
5.3%
8 247
 
4.5%
7 246
 
4.5%
9 202
 
3.7%
Other Symbol
ValueCountFrequency (%)
° 714
93.5%
¦ 21
 
2.7%
® 12
 
1.6%
11
 
1.4%
© 4
 
0.5%
2
 
0.3%
Math Symbol
ValueCountFrequency (%)
± 214
90.3%
¬ 18
 
7.6%
+ 2
 
0.8%
~ 1
 
0.4%
< 1
 
0.4%
= 1
 
0.4%
Initial Punctuation
ValueCountFrequency (%)
12
54.5%
« 5
22.7%
3
 
13.6%
2
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 535
92.9%
36
 
6.2%
5
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 157
73.4%
54
 
25.2%
3
 
1.4%
Currency Symbol
ValueCountFrequency (%)
¤ 16
76.2%
4
 
19.0%
$ 1
 
4.8%
Final Punctuation
ValueCountFrequency (%)
5
55.6%
» 2
 
22.2%
2
 
22.2%
Space Separator
ValueCountFrequency (%)
1985450
> 99.9%
  5
 
< 0.1%
Control
ValueCountFrequency (%)
˜ 5
71.4%
2
 
28.6%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13983015
87.5%
Common 1994299
 
12.5%
Cyrillic 1525
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1985450
99.6%
0 1025
 
0.1%
1 975
 
< 0.1%
. 860
 
< 0.1%
5 820
 
< 0.1%
° 714
 
< 0.1%
2 674
 
< 0.1%
3 567
 
< 0.1%
- 535
 
< 0.1%
4 427
 
< 0.1%
Other values (55) 2252
 
0.1%
Latin
ValueCountFrequency (%)
a 2032476
14.5%
r 1923828
13.8%
d 1899605
13.6%
h 1885559
13.5%
n 1531944
11.0%
P 987141
7.1%
e 978569
7.0%
s 943360
6.7%
A 942598
6.7%
i 545628
 
3.9%
Other values (42) 312307
 
2.2%
Cyrillic
ValueCountFrequency (%)
а 852
55.9%
Ќ 94
 
6.2%
ѕ 71
 
4.7%
ї 53
 
3.5%
Ѓ 45
 
3.0%
Ё 41
 
2.7%
І 38
 
2.5%
Є 37
 
2.4%
Г 32
 
2.1%
џ 29
 
1.9%
Other values (32) 233
 
15.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15976030
> 99.9%
Cyrillic 1525
 
< 0.1%
None 1078
 
< 0.1%
Punctuation 189
 
< 0.1%
Letterlike Symbols 13
 
< 0.1%
Currency Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2032476
12.7%
1985450
12.4%
r 1923828
12.0%
d 1899605
11.9%
h 1885559
11.8%
n 1531944
9.6%
P 987141
6.2%
e 978569
6.1%
s 943360
5.9%
A 942598
5.9%
Other values (74) 865500
5.4%
Cyrillic
ValueCountFrequency (%)
а 852
55.9%
Ќ 94
 
6.2%
ѕ 71
 
4.7%
ї 53
 
3.5%
Ѓ 45
 
3.0%
Ё 41
 
2.7%
І 38
 
2.5%
Є 37
 
2.4%
Г 32
 
2.1%
џ 29
 
1.9%
Other values (32) 233
 
15.3%
None
ValueCountFrequency (%)
° 714
66.2%
± 214
 
19.9%
µ 31
 
2.9%
¦ 21
 
1.9%
¬ 18
 
1.7%
¤ 16
 
1.5%
§ 14
 
1.3%
® 12
 
1.1%
11
 
1.0%
« 5
 
0.5%
Other values (6) 22
 
2.0%
Punctuation
ValueCountFrequency (%)
54
28.6%
36
19.0%
21
 
11.1%
18
 
9.5%
14
 
7.4%
13
 
6.9%
12
 
6.3%
5
 
2.6%
5
 
2.6%
3
 
1.6%
Other values (4) 8
 
4.2%
Letterlike Symbols
ValueCountFrequency (%)
11
84.6%
2
 
15.4%
Currency Symbols
ValueCountFrequency (%)
4
100.0%

JobTitle
Text

MISSING 

Distinct6533
Distinct (%)25.4%
Missing1022814
Missing (%)97.5%
Memory size8.0 MiB
2024-07-18T03:38:53.418195image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length154
Median length84
Mean length9.7735336
Min length1

Characters and Unicode

Total characters251776
Distinct characters167
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5199 ?
Unique (%)20.2%

Sample

1st row in
2nd row531149
3rd row in
4th rowKapurthala
5th row Punjab
ValueCountFrequency (%)
in 7769
20.1%
pradesh 4762
 
12.3%
andhra 4756
 
12.3%
india 2638
 
6.8%
hyderabad 1608
 
4.2%
vijayawada 583
 
1.5%
anantapur 293
 
0.8%
karimnagar 243
 
0.6%
bangalore 219
 
0.6%
warangal 206
 
0.5%
Other values (5768) 15513
40.2%
2024-07-18T03:38:54.230495image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 31182
 
12.4%
30579
 
12.1%
n 20860
 
8.3%
d 18615
 
7.4%
r 17975
 
7.1%
i 16130
 
6.4%
h 11900
 
4.7%
e 11655
 
4.6%
s 7405
 
2.9%
A 6395
 
2.5%
Other values (157) 79080
31.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 170282
67.6%
Space Separator 30582
 
12.1%
Uppercase Letter 29186
 
11.6%
Decimal Number 19643
 
7.8%
Other Punctuation 872
 
0.3%
Other Symbol 527
 
0.2%
Math Symbol 187
 
0.1%
Open Punctuation 153
 
0.1%
Dash Punctuation 134
 
0.1%
Close Punctuation 98
 
< 0.1%
Other values (7) 112
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 6395
21.9%
P 5525
18.9%
I 3140
10.8%
H 1945
 
6.7%
S 1028
 
3.5%
N 976
 
3.3%
M 957
 
3.3%
V 928
 
3.2%
T 908
 
3.1%
R 879
 
3.0%
Other values (44) 6505
22.3%
Lowercase Letter
ValueCountFrequency (%)
a 31182
18.3%
n 20860
12.3%
d 18615
10.9%
r 17975
10.6%
i 16130
9.5%
h 11900
 
7.0%
e 11655
 
6.8%
s 7405
 
4.3%
t 4312
 
2.5%
l 3607
 
2.1%
Other values (37) 26641
15.6%
Other Punctuation
ValueCountFrequency (%)
. 586
67.2%
/ 47
 
5.4%
& 44
 
5.0%
28
 
3.2%
@ 26
 
3.0%
' 22
 
2.5%
21
 
2.4%
17
 
1.9%
! 17
 
1.9%
: 13
 
1.5%
Other values (9) 51
 
5.8%
Decimal Number
ValueCountFrequency (%)
0 4843
24.7%
5 4164
21.2%
1 2671
13.6%
2 2245
11.4%
3 1864
 
9.5%
4 1209
 
6.2%
6 816
 
4.2%
7 746
 
3.8%
8 623
 
3.2%
9 462
 
2.4%
Other Symbol
ValueCountFrequency (%)
° 470
89.2%
26
 
4.9%
® 18
 
3.4%
¦ 10
 
1.9%
3
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 92
60.1%
52
34.0%
5
 
3.3%
[ 2
 
1.3%
{ 2
 
1.3%
Math Symbol
ValueCountFrequency (%)
± 171
91.4%
¬ 14
 
7.5%
| 1
 
0.5%
~ 1
 
0.5%
Initial Punctuation
ValueCountFrequency (%)
9
45.0%
« 5
25.0%
4
20.0%
2
 
10.0%
Final Punctuation
ValueCountFrequency (%)
5
50.0%
» 2
 
20.0%
2
 
20.0%
1
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
85.8%
15
 
11.2%
4
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 94
95.9%
] 2
 
2.0%
} 2
 
2.0%
Currency Symbol
ValueCountFrequency (%)
¤ 23
59.0%
$ 11
28.2%
5
 
12.8%
Space Separator
ValueCountFrequency (%)
30579
> 99.9%
  3
 
< 0.1%
Control
ValueCountFrequency (%)
˜ 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Format
ValueCountFrequency (%)
­ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 198143
78.7%
Common 52325
 
20.8%
Cyrillic 1308
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
30579
58.4%
0 4843
 
9.3%
5 4164
 
8.0%
1 2671
 
5.1%
2 2245
 
4.3%
3 1864
 
3.6%
4 1209
 
2.3%
6 816
 
1.6%
7 746
 
1.4%
8 623
 
1.2%
Other values (57) 2565
 
4.9%
Latin
ValueCountFrequency (%)
a 31182
15.7%
n 20860
10.5%
d 18615
 
9.4%
r 17975
 
9.1%
i 16130
 
8.1%
h 11900
 
6.0%
e 11655
 
5.9%
s 7405
 
3.7%
A 6395
 
3.2%
P 5525
 
2.8%
Other values (42) 50501
25.5%
Cyrillic
ValueCountFrequency (%)
а 589
45.0%
Ќ 81
 
6.2%
в 52
 
4.0%
ѕ 49
 
3.7%
Г 49
 
3.7%
џ 44
 
3.4%
ё 34
 
2.6%
Ѓ 31
 
2.4%
ї 31
 
2.4%
р 29
 
2.2%
Other values (38) 319
24.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249478
99.1%
Cyrillic 1308
 
0.5%
None 781
 
0.3%
Punctuation 175
 
0.1%
Letterlike Symbols 29
 
< 0.1%
Currency Symbols 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 31182
12.5%
30579
 
12.3%
n 20860
 
8.4%
d 18615
 
7.5%
r 17975
 
7.2%
i 16130
 
6.5%
h 11900
 
4.8%
e 11655
 
4.7%
s 7405
 
3.0%
A 6395
 
2.6%
Other values (76) 76782
30.8%
Cyrillic
ValueCountFrequency (%)
а 589
45.0%
Ќ 81
 
6.2%
в 52
 
4.0%
ѕ 49
 
3.7%
Г 49
 
3.7%
џ 44
 
3.4%
ё 34
 
2.6%
Ѓ 31
 
2.4%
ї 31
 
2.4%
р 29
 
2.2%
Other values (38) 319
24.4%
None
ValueCountFrequency (%)
° 470
60.2%
± 171
 
21.9%
˜ 28
 
3.6%
¤ 23
 
2.9%
® 18
 
2.3%
µ 17
 
2.2%
¬ 14
 
1.8%
11
 
1.4%
¦ 10
 
1.3%
« 5
 
0.6%
Other values (5) 14
 
1.8%
Punctuation
ValueCountFrequency (%)
52
29.7%
28
16.0%
21
12.0%
17
 
9.7%
15
 
8.6%
9
 
5.1%
7
 
4.0%
5
 
2.9%
5
 
2.9%
4
 
2.3%
Other values (5) 12
 
6.9%
Letterlike Symbols
ValueCountFrequency (%)
26
89.7%
3
 
10.3%
Currency Symbols
ValueCountFrequency (%)
5
100.0%

CompanyName
Text

MISSING 

Distinct7016
Distinct (%)38.7%
Missing1030447
Missing (%)98.3%
Memory size8.0 MiB
2024-07-18T03:38:54.757647image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length90
Median length68
Mean length9.80406
Min length1

Characters and Unicode

Total characters177728
Distinct characters158
Distinct categories17 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6020 ?
Unique (%)33.2%

Sample

1st rowPolice
2nd row Arakuvalley
3rd rowPunjab
4th row India Jalalabad
5th rowInfoys
ValueCountFrequency (%)
india 3369
 
12.9%
in 2095
 
8.0%
andhra 1759
 
6.7%
pradesh 1743
 
6.7%
hyderabad 469
 
1.8%
police 207
 
0.8%
ltd 151
 
0.6%
nellore 150
 
0.6%
146
 
0.6%
bank 127
 
0.5%
Other values (6369) 15876
60.8%
2024-07-18T03:38:55.538855image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 20949
 
11.8%
18729
 
10.5%
n 12732
 
7.2%
i 11825
 
6.7%
d 10965
 
6.2%
r 10247
 
5.8%
e 8304
 
4.7%
h 6020
 
3.4%
s 5232
 
2.9%
t 4786
 
2.7%
Other values (148) 67939
38.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 120423
67.8%
Uppercase Letter 33149
 
18.7%
Space Separator 18730
 
10.5%
Decimal Number 2924
 
1.6%
Other Punctuation 1161
 
0.7%
Other Symbol 782
 
0.4%
Math Symbol 242
 
0.1%
Open Punctuation 94
 
0.1%
Dash Punctuation 72
 
< 0.1%
Currency Symbol 48
 
< 0.1%
Other values (7) 103
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 4561
13.8%
A 4252
12.8%
P 3360
 
10.1%
S 2342
 
7.1%
T 1607
 
4.8%
C 1520
 
4.6%
R 1463
 
4.4%
N 1405
 
4.2%
H 1266
 
3.8%
M 1229
 
3.7%
Other values (42) 10144
30.6%
Lowercase Letter
ValueCountFrequency (%)
a 20949
17.4%
n 12732
10.6%
i 11825
9.8%
d 10965
9.1%
r 10247
8.5%
e 8304
 
6.9%
h 6020
 
5.0%
s 5232
 
4.3%
t 4786
 
4.0%
o 4286
 
3.6%
Other values (35) 25077
20.8%
Other Punctuation
ValueCountFrequency (%)
. 747
64.3%
& 125
 
10.8%
' 45
 
3.9%
42
 
3.6%
@ 31
 
2.7%
29
 
2.5%
25
 
2.2%
* 24
 
2.1%
/ 21
 
1.8%
15
 
1.3%
Other values (9) 57
 
4.9%
Decimal Number
ValueCountFrequency (%)
0 698
23.9%
5 581
19.9%
1 424
14.5%
2 328
11.2%
3 259
 
8.9%
4 201
 
6.9%
8 114
 
3.9%
6 114
 
3.9%
7 106
 
3.6%
9 99
 
3.4%
Other Symbol
ValueCountFrequency (%)
° 707
90.4%
® 32
 
4.1%
¦ 20
 
2.6%
12
 
1.5%
© 6
 
0.8%
5
 
0.6%
Initial Punctuation
ValueCountFrequency (%)
15
55.6%
7
25.9%
« 4
 
14.8%
1
 
3.7%
Math Symbol
ValueCountFrequency (%)
± 228
94.2%
¬ 12
 
5.0%
+ 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 53
73.6%
16
 
22.2%
3
 
4.2%
Open Punctuation
ValueCountFrequency (%)
47
50.0%
( 45
47.9%
2
 
2.1%
Currency Symbol
ValueCountFrequency (%)
¤ 34
70.8%
13
 
27.1%
$ 1
 
2.1%
Final Punctuation
ValueCountFrequency (%)
5
45.5%
4
36.4%
» 2
 
18.2%
Space Separator
ValueCountFrequency (%)
18729
> 99.9%
  1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Control
ValueCountFrequency (%)
˜ 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Format
ValueCountFrequency (%)
­ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 151688
85.3%
Common 24190
 
13.6%
Cyrillic 1850
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
18729
77.4%
. 747
 
3.1%
° 707
 
2.9%
0 698
 
2.9%
5 581
 
2.4%
1 424
 
1.8%
2 328
 
1.4%
3 259
 
1.1%
± 228
 
0.9%
4 201
 
0.8%
Other values (52) 1288
 
5.3%
Latin
ValueCountFrequency (%)
a 20949
 
13.8%
n 12732
 
8.4%
i 11825
 
7.8%
d 10965
 
7.2%
r 10247
 
6.8%
e 8304
 
5.5%
h 6020
 
4.0%
s 5232
 
3.4%
t 4786
 
3.2%
I 4561
 
3.0%
Other values (42) 56067
37.0%
Cyrillic
ValueCountFrequency (%)
а 893
48.3%
Ќ 114
 
6.2%
џ 85
 
4.6%
ї 68
 
3.7%
І 57
 
3.1%
ѕ 55
 
3.0%
р 55
 
3.0%
Ѓ 42
 
2.3%
ё 41
 
2.2%
Є 41
 
2.2%
Other values (34) 399
21.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 174513
98.2%
Cyrillic 1850
 
1.0%
None 1129
 
0.6%
Punctuation 206
 
0.1%
Letterlike Symbols 17
 
< 0.1%
Currency Symbols 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 20949
 
12.0%
18729
 
10.7%
n 12732
 
7.3%
i 11825
 
6.8%
d 10965
 
6.3%
r 10247
 
5.9%
e 8304
 
4.8%
h 6020
 
3.4%
s 5232
 
3.0%
t 4786
 
2.7%
Other values (71) 64724
37.1%
Cyrillic
ValueCountFrequency (%)
а 893
48.3%
Ќ 114
 
6.2%
џ 85
 
4.6%
ї 68
 
3.7%
І 57
 
3.1%
ѕ 55
 
3.0%
р 55
 
3.0%
Ѓ 42
 
2.3%
ё 41
 
2.2%
Є 41
 
2.2%
Other values (34) 399
21.6%
None
ValueCountFrequency (%)
° 707
62.6%
± 228
 
20.2%
µ 34
 
3.0%
¤ 34
 
3.0%
® 32
 
2.8%
¦ 20
 
1.8%
15
 
1.3%
§ 14
 
1.2%
˜ 13
 
1.2%
¬ 12
 
1.1%
Other values (6) 20
 
1.8%
Punctuation
ValueCountFrequency (%)
47
22.8%
42
20.4%
29
14.1%
25
12.1%
16
 
7.8%
15
 
7.3%
7
 
3.4%
5
 
2.4%
5
 
2.4%
5
 
2.4%
Other values (4) 10
 
4.9%
Currency Symbols
ValueCountFrequency (%)
13
100.0%
Letterlike Symbols
ValueCountFrequency (%)
12
70.6%
5
29.4%

Email
Text

MISSING 

Distinct324762
Distinct (%)96.7%
Missing712816
Missing (%)68.0%
Memory size8.0 MiB
2024-07-18T03:38:56.132293image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length82
Median length52
Mean length23.287093
Min length1

Characters and Unicode

Total characters7818851
Distinct characters137
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique322679 ?
Unique (%)96.1%

Sample

1st rowsingampalli1483@gmail.com
2nd rowalluri081996@gmail.com
3rd rowmadhurihari77@gmail.com
4th rowkarthik.chandaka98@gmail.com
5th rownaveenrokzs@gmail.com
ValueCountFrequency (%)
in 7584
 
2.2%
andhra 743
 
0.2%
pradesh 742
 
0.2%
hyderabad 94
 
< 0.1%
india 54
 
< 0.1%
ltd 35
 
< 0.1%
abc@gmail.com 34
 
< 0.1%
student 33
 
< 0.1%
vijayawada 32
 
< 0.1%
of 30
 
< 0.1%
Other values (324887) 328247
97.2%
2024-07-18T03:38:57.024769image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 1086025
13.9%
m 799518
 
10.2%
i 596157
 
7.6%
l 454943
 
5.8%
o 435204
 
5.6%
. 394351
 
5.0%
g 383837
 
4.9%
c 369638
 
4.7%
@ 325375
 
4.2%
r 318931
 
4.1%
Other values (127) 2654872
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6473038
82.8%
Other Punctuation 719807
 
9.2%
Decimal Number 592890
 
7.6%
Uppercase Letter 18927
 
0.2%
Space Separator 10855
 
0.1%
Connector Punctuation 2982
 
< 0.1%
Other Symbol 133
 
< 0.1%
Dash Punctuation 103
 
< 0.1%
Math Symbol 39
 
< 0.1%
Open Punctuation 37
 
< 0.1%
Other values (4) 40
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 2564
13.5%
S 1858
 
9.8%
P 1587
 
8.4%
M 1325
 
7.0%
R 1319
 
7.0%
G 1170
 
6.2%
N 838
 
4.4%
K 820
 
4.3%
I 802
 
4.2%
C 785
 
4.1%
Other values (37) 5859
31.0%
Lowercase Letter
ValueCountFrequency (%)
a 1086025
16.8%
m 799518
12.4%
i 596157
 
9.2%
l 454943
 
7.0%
o 435204
 
6.7%
g 383837
 
5.9%
c 369638
 
5.7%
r 318931
 
4.9%
n 266539
 
4.1%
s 242809
 
3.8%
Other values (28) 1519437
23.5%
Other Punctuation
ValueCountFrequency (%)
. 394351
54.8%
@ 325375
45.2%
& 22
 
< 0.1%
: 10
 
< 0.1%
' 8
 
< 0.1%
7
 
< 0.1%
! 6
 
< 0.1%
5
 
< 0.1%
§ 5
 
< 0.1%
5
 
< 0.1%
Other values (6) 13
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 91656
15.5%
9 77564
13.1%
2 66211
11.2%
0 65808
11.1%
3 52077
8.8%
4 50932
8.6%
7 50467
8.5%
6 46665
7.9%
8 45790
7.7%
5 45720
7.7%
Other Symbol
ValueCountFrequency (%)
° 115
86.5%
® 6
 
4.5%
4
 
3.0%
3
 
2.3%
¦ 3
 
2.3%
© 2
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 17
45.9%
13
35.1%
6
 
16.2%
{ 1
 
2.7%
Math Symbol
ValueCountFrequency (%)
± 33
84.6%
+ 5
 
12.8%
¬ 1
 
2.6%
Currency Symbol
ValueCountFrequency (%)
¤ 6
54.5%
4
36.4%
$ 1
 
9.1%
Initial Punctuation
ValueCountFrequency (%)
« 3
50.0%
2
33.3%
1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 99
96.1%
4
 
3.9%
Close Punctuation
ValueCountFrequency (%)
) 19
95.0%
} 1
 
5.0%
Space Separator
ValueCountFrequency (%)
10855
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2982
100.0%
Control
ValueCountFrequency (%)
˜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6491682
83.0%
Common 1326887
 
17.0%
Cyrillic 282
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 394351
29.7%
@ 325375
24.5%
1 91656
 
6.9%
9 77564
 
5.8%
2 66211
 
5.0%
0 65808
 
5.0%
3 52077
 
3.9%
4 50932
 
3.8%
7 50467
 
3.8%
6 46665
 
3.5%
Other values (43) 105781
 
8.0%
Latin
ValueCountFrequency (%)
a 1086025
16.7%
m 799518
12.3%
i 596157
 
9.2%
l 454943
 
7.0%
o 435204
 
6.7%
g 383837
 
5.9%
c 369638
 
5.7%
r 318931
 
4.9%
n 266539
 
4.1%
s 242809
 
3.7%
Other values (42) 1538081
23.7%
Cyrillic
ValueCountFrequency (%)
а 137
48.6%
Ќ 18
 
6.4%
Ш 14
 
5.0%
Щ 11
 
3.9%
ё 9
 
3.2%
ѕ 9
 
3.2%
ї 9
 
3.2%
Д 8
 
2.8%
в 7
 
2.5%
џ 7
 
2.5%
Other values (22) 53
 
18.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7818330
> 99.9%
Cyrillic 282
 
< 0.1%
None 182
 
< 0.1%
Punctuation 46
 
< 0.1%
Letterlike Symbols 7
 
< 0.1%
Currency Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 1086025
13.9%
m 799518
 
10.2%
i 596157
 
7.6%
l 454943
 
5.8%
o 435204
 
5.6%
. 394351
 
5.0%
g 383837
 
4.9%
c 369638
 
4.7%
@ 325375
 
4.2%
r 318931
 
4.1%
Other values (70) 2654351
34.0%
Cyrillic
ValueCountFrequency (%)
а 137
48.6%
Ќ 18
 
6.4%
Ш 14
 
5.0%
Щ 11
 
3.9%
ё 9
 
3.2%
ѕ 9
 
3.2%
ї 9
 
3.2%
Д 8
 
2.8%
в 7
 
2.5%
џ 7
 
2.5%
Other values (22) 53
 
18.8%
None
ValueCountFrequency (%)
° 115
63.2%
± 33
 
18.1%
¤ 6
 
3.3%
® 6
 
3.3%
§ 5
 
2.7%
¦ 3
 
1.6%
« 3
 
1.6%
˜ 3
 
1.6%
2
 
1.1%
· 2
 
1.1%
Other values (3) 4
 
2.2%
Punctuation
ValueCountFrequency (%)
13
28.3%
7
15.2%
6
13.0%
5
 
10.9%
5
 
10.9%
4
 
8.7%
3
 
6.5%
2
 
4.3%
1
 
2.2%
Letterlike Symbols
ValueCountFrequency (%)
4
57.1%
3
42.9%
Currency Symbols
ValueCountFrequency (%)
4
100.0%

Facebook
Text

MISSING 

Distinct4826
Distinct (%)23.4%
Missing1027992
Missing (%)98.0%
Memory size8.0 MiB
2024-07-18T03:38:57.561255image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length72
Median length8
Mean length9.6078803
Min length1

Characters and Unicode

Total characters197759
Distinct characters138
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3733 ?
Unique (%)18.1%

Sample

1st row1.55E+15
2nd row in
3rd row in
4th row6.98E+14
5th row5.16E+14
ValueCountFrequency (%)
1.00e+14 4556
 
20.7%
in 1027
 
4.7%
1.02e+16 111
 
0.5%
ltd 51
 
0.2%
1.20e+14 43
 
0.2%
1.49e+14 42
 
0.2%
1.95e+15 41
 
0.2%
1.76e+15 40
 
0.2%
1.86e+15 39
 
0.2%
1.07e+14 39
 
0.2%
Other values (5157) 16015
72.8%
2024-07-18T03:38:58.377561image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 28555
14.4%
. 18060
 
9.1%
4 16323
 
8.3%
E 15844
 
8.0%
+ 15549
 
7.9%
0 12633
 
6.4%
a 7480
 
3.8%
5 6490
 
3.3%
2 5623
 
2.8%
i 5341
 
2.7%
Other values (128) 65861
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 86545
43.8%
Lowercase Letter 51814
26.2%
Uppercase Letter 20911
 
10.6%
Other Punctuation 19973
 
10.1%
Math Symbol 15612
 
7.9%
Space Separator 2580
 
1.3%
Other Symbol 205
 
0.1%
Open Punctuation 31
 
< 0.1%
Dash Punctuation 27
 
< 0.1%
Connector Punctuation 23
 
< 0.1%
Other values (4) 38
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 15844
75.8%
S 566
 
2.7%
A 483
 
2.3%
C 341
 
1.6%
P 316
 
1.5%
T 316
 
1.5%
R 312
 
1.5%
I 301
 
1.4%
L 260
 
1.2%
D 257
 
1.2%
Other values (37) 1915
 
9.2%
Lowercase Letter
ValueCountFrequency (%)
a 7480
14.4%
i 5341
 
10.3%
m 4720
 
9.1%
n 3578
 
6.9%
o 3305
 
6.4%
l 3041
 
5.9%
r 2858
 
5.5%
c 2601
 
5.0%
e 2529
 
4.9%
g 2373
 
4.6%
Other values (31) 13988
27.0%
Other Punctuation
ValueCountFrequency (%)
. 18060
90.4%
@ 1760
 
8.8%
/ 63
 
0.3%
& 33
 
0.2%
: 15
 
0.1%
' 11
 
0.1%
7
 
< 0.1%
· 6
 
< 0.1%
5
 
< 0.1%
3
 
< 0.1%
Other values (7) 10
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 28555
33.0%
4 16323
18.9%
0 12633
14.6%
5 6490
 
7.5%
2 5623
 
6.5%
3 3745
 
4.3%
6 3588
 
4.1%
7 3218
 
3.7%
8 3185
 
3.7%
9 3185
 
3.7%
Other Symbol
ValueCountFrequency (%)
° 196
95.6%
¦ 4
 
2.0%
® 3
 
1.5%
1
 
0.5%
1
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 15549
99.6%
± 58
 
0.4%
¬ 5
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 19
70.4%
6
 
22.2%
2
 
7.4%
Open Punctuation
ValueCountFrequency (%)
( 18
58.1%
11
35.5%
2
 
6.5%
Space Separator
ValueCountFrequency (%)
2579
> 99.9%
  1
 
< 0.1%
Currency Symbol
ValueCountFrequency (%)
7
63.6%
¤ 4
36.4%
Initial Punctuation
ValueCountFrequency (%)
« 3
60.0%
2
40.0%
Connector Punctuation
ValueCountFrequency (%)
_ 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Control
ValueCountFrequency (%)
˜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 125042
63.2%
Latin 72259
36.5%
Cyrillic 458
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 15844
21.9%
a 7480
 
10.4%
i 5341
 
7.4%
m 4720
 
6.5%
n 3578
 
5.0%
o 3305
 
4.6%
l 3041
 
4.2%
r 2858
 
4.0%
c 2601
 
3.6%
e 2529
 
3.5%
Other values (42) 20962
29.0%
Common
ValueCountFrequency (%)
1 28555
22.8%
. 18060
14.4%
4 16323
13.1%
+ 15549
12.4%
0 12633
10.1%
5 6490
 
5.2%
2 5623
 
4.5%
3 3745
 
3.0%
6 3588
 
2.9%
7 3218
 
2.6%
Other values (41) 11258
 
9.0%
Cyrillic
ValueCountFrequency (%)
а 235
51.3%
Ќ 32
 
7.0%
ѕ 21
 
4.6%
ї 17
 
3.7%
Ё 15
 
3.3%
Ш 13
 
2.8%
џ 13
 
2.8%
Ѓ 12
 
2.6%
ё 11
 
2.4%
Ї 10
 
2.2%
Other values (25) 79
 
17.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 196956
99.6%
Cyrillic 458
 
0.2%
None 296
 
0.1%
Punctuation 40
 
< 0.1%
Currency Symbols 7
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 28555
14.5%
. 18060
 
9.2%
4 16323
 
8.3%
E 15844
 
8.0%
+ 15549
 
7.9%
0 12633
 
6.4%
a 7480
 
3.8%
5 6490
 
3.3%
2 5623
 
2.9%
i 5341
 
2.7%
Other values (67) 65058
33.0%
Cyrillic
ValueCountFrequency (%)
а 235
51.3%
Ќ 32
 
7.0%
ѕ 21
 
4.6%
ї 17
 
3.7%
Ё 15
 
3.3%
Ш 13
 
2.8%
џ 13
 
2.8%
Ѓ 12
 
2.6%
ё 11
 
2.4%
Ї 10
 
2.2%
Other values (25) 79
 
17.2%
None
ValueCountFrequency (%)
° 196
66.2%
± 58
 
19.6%
µ 8
 
2.7%
· 6
 
2.0%
¬ 5
 
1.7%
¦ 4
 
1.4%
˜ 4
 
1.4%
¤ 4
 
1.4%
« 3
 
1.0%
® 3
 
1.0%
Other values (3) 5
 
1.7%
Punctuation
ValueCountFrequency (%)
11
27.5%
7
17.5%
6
15.0%
5
12.5%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
2
 
5.0%
1
 
2.5%
Currency Symbols
ValueCountFrequency (%)
7
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%

Twitter
Text

MISSING 

Distinct8027
Distinct (%)74.3%
Missing1037773
Missing (%)99.0%
Memory size8.0 MiB
2024-07-18T03:38:58.837658image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Length

Max length91
Median length46
Mean length17.995742
Min length1

Characters and Unicode

Total characters194390
Distinct characters122
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7549 ?
Unique (%)69.9%

Sample

1st row1.00E+14
2nd rowpujariganguli12@gmail.com
3rd rowOwn Jewellery Showroom
4th rowchouhanb.64@gmail.com
5th rowsrinunaidupippalla@gmail.com
ValueCountFrequency (%)
1.00e+14 1366
 
12.3%
in 97
 
0.9%
1.02e+16 30
 
0.3%
india 21
 
0.2%
1.65e+15 19
 
0.2%
1.60e+15 19
 
0.2%
1.64e+15 18
 
0.2%
1.66e+15 17
 
0.2%
1.62e+15 15
 
0.1%
1.63e+15 15
 
0.1%
Other values (8201) 9533
85.5%
2024-07-18T03:38:59.755357image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 22082
 
11.4%
m 16117
 
8.3%
i 12399
 
6.4%
. 11902
 
6.1%
o 9618
 
4.9%
l 9230
 
4.7%
1 7925
 
4.1%
c 7764
 
4.0%
g 7712
 
4.0%
r 6997
 
3.6%
Other values (112) 82644
42.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 136725
70.3%
Decimal Number 30021
 
15.4%
Other Punctuation 18612
 
9.6%
Uppercase Letter 4880
 
2.5%
Math Symbol 3418
 
1.8%
Space Separator 507
 
0.3%
Connector Punctuation 149
 
0.1%
Other Symbol 51
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Other values (5) 11
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 3472
71.1%
S 141
 
2.9%
A 135
 
2.8%
C 105
 
2.2%
I 92
 
1.9%
M 79
 
1.6%
P 78
 
1.6%
N 76
 
1.6%
O 69
 
1.4%
R 68
 
1.4%
Other values (33) 565
 
11.6%
Lowercase Letter
ValueCountFrequency (%)
a 22082
16.2%
m 16117
11.8%
i 12399
 
9.1%
o 9618
 
7.0%
l 9230
 
6.8%
c 7764
 
5.7%
g 7712
 
5.6%
r 6997
 
5.1%
n 5871
 
4.3%
s 5249
 
3.8%
Other values (29) 33686
24.6%
Other Punctuation
ValueCountFrequency (%)
. 11902
63.9%
@ 6665
35.8%
/ 20
 
0.1%
& 10
 
0.1%
4
 
< 0.1%
: 3
 
< 0.1%
? 2
 
< 0.1%
· 2
 
< 0.1%
2
 
< 0.1%
§ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 7925
26.4%
0 4675
15.6%
4 4258
14.2%
5 2363
 
7.9%
9 2099
 
7.0%
2 2031
 
6.8%
3 1692
 
5.6%
7 1681
 
5.6%
6 1654
 
5.5%
8 1643
 
5.5%
Math Symbol
ValueCountFrequency (%)
+ 3398
99.4%
± 18
 
0.5%
~ 1
 
< 0.1%
= 1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
° 45
88.2%
® 4
 
7.8%
2
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 7
77.8%
1
 
11.1%
1
 
11.1%
Currency Symbol
ValueCountFrequency (%)
3
60.0%
¤ 2
40.0%
Space Separator
ValueCountFrequency (%)
507
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 141489
72.8%
Common 52788
 
27.2%
Cyrillic 113
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 22082
15.6%
m 16117
11.4%
i 12399
 
8.8%
o 9618
 
6.8%
l 9230
 
6.5%
c 7764
 
5.5%
g 7712
 
5.5%
r 6997
 
4.9%
n 5871
 
4.1%
s 5249
 
3.7%
Other values (42) 38450
27.2%
Common
ValueCountFrequency (%)
. 11902
22.5%
1 7925
15.0%
@ 6665
12.6%
0 4675
 
8.9%
4 4258
 
8.1%
+ 3398
 
6.4%
5 2363
 
4.5%
9 2099
 
4.0%
2 2031
 
3.8%
3 1692
 
3.2%
Other values (31) 5780
10.9%
Cyrillic
ValueCountFrequency (%)
а 57
50.4%
Ќ 10
 
8.8%
Ў 4
 
3.5%
ї 3
 
2.7%
ё 3
 
2.7%
Ђ 3
 
2.7%
І 3
 
2.7%
О 2
 
1.8%
П 2
 
1.8%
б 2
 
1.8%
Other values (19) 24
21.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194187
99.9%
Cyrillic 113
 
0.1%
None 76
 
< 0.1%
Punctuation 9
 
< 0.1%
Currency Symbols 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 22082
 
11.4%
m 16117
 
8.3%
i 12399
 
6.4%
. 11902
 
6.1%
o 9618
 
5.0%
l 9230
 
4.8%
1 7925
 
4.1%
c 7764
 
4.0%
g 7712
 
4.0%
r 6997
 
3.6%
Other values (68) 82441
42.5%
Cyrillic
ValueCountFrequency (%)
а 57
50.4%
Ќ 10
 
8.8%
Ў 4
 
3.5%
ї 3
 
2.7%
ё 3
 
2.7%
Ђ 3
 
2.7%
І 3
 
2.7%
О 2
 
1.8%
П 2
 
1.8%
б 2
 
1.8%
Other values (19) 24
21.2%
None
ValueCountFrequency (%)
° 45
59.2%
± 18
 
23.7%
® 4
 
5.3%
µ 3
 
3.9%
· 2
 
2.6%
¤ 2
 
2.6%
­ 1
 
1.3%
§ 1
 
1.3%
Punctuation
ValueCountFrequency (%)
4
44.4%
2
22.2%
1
 
11.1%
1
 
11.1%
1
 
11.1%
Currency Symbols
ValueCountFrequency (%)
3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%

Missing values

2024-07-18T03:38:41.255486image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-18T03:38:42.393042image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-07-18T03:38:45.150786image/svg+xmlMatplotlib v3.9.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

NumberCarrierNameGenderAddressJobTitleCompanyNameEmailFacebookTwitter
09.170000e+11BSNL MOBILEJikku Ayush KidsNaNAndhra PradeshNaNNaNNaNNaNNaN
19.170000e+11BSNL MOBILEGoswami RituNaNAndhra PradeshNaNNaNNaNNaNNaN
29.170000e+11BSNL MOBILESruthiNaNAndhra PradeshNaNNaNNaNNaNNaN
39.170000e+11BSNL MOBILEArshiya KadiriNaNAndhra PradeshNaNNaNNaNNaNNaN
49.170000e+11BSNL MOBILESingampalli NareshNaNAndhra Pradesh inNaNPolicesingampalli1483@gmail.comNaNNaN
59.170000e+11BSNL MOBILERamakkaNaNAndhra PradeshNaNNaNNaNNaNNaN
69.170000e+11BSNL MOBILERam RamNaNAndhra Pradesh inNaNNaNNaNNaNNaN
79.170000e+11BSNL MOBILEG Thulasi UtNaNAndhra PradeshNaNNaNNaNNaNNaN
89.170000e+11BSNL MOBILEShailaja.vNaNAndhra PradeshNaNNaNNaNNaNNaN
99.170000e+11BSNL MOBILERam AlluriNaNAndhra Pradesh inNaNNaNalluri081996@gmail.comNaNNaN
NumberCarrierNameGenderAddressJobTitleCompanyNameEmailFacebookTwitter
10485659.190000e+11BSNL MOBILEChandrakalaNaNAndhra PradeshNaNNaNNaNNaNNaN
10485669.190000e+11BSNL MOBILESyamNaNAndhra PradeshNaNNaNNaNNaNNaN
10485679.190000e+11BSNL MOBILEKaithi RajashekarNaNAndhra Pradesh inNaNNaNNaNNaNNaN
10485689.190000e+11BSNL MOBILEKareemNaNAndhra PradeshNaNNaNNaNNaNNaN
10485699.190000e+11BSNL MOBILEAbdul RahmanNaNAndhra Pradesh inNaNNaNabdul786@gmail.comNaNNaN
10485709.190000e+11BSNL MOBILEMurali KrishnaNaNAndhra Pradesh inNaNNaNsimurali2133@gmail.comNaNNaN
10485719.190000e+11BSNL MOBILEGopi BayyapuneniMALEAndhra Pradesh inNaNNaNbayyapunenigopi@gmail.com2.53E+14NaN
10485729.190000e+11BSNL MOBILEKamesh KameshNaNAndhra Pradesh inNaNNaNeppalakameshwar@gmail.comNaNNaN
10485739.190000e+11BSNL MOBILEPulisampathNaNAndhra PradeshNaNNaNNaNNaN
10485749.190000e+11BSNL MOBILENaNNaNAndhra PradeshNaNNaNNaNNaNNaN

Duplicate rows

Most frequently occurring

NumberCarrierNameGenderAddressJobTitleCompanyNameEmailFacebookTwitter# duplicates
65219.180000e+11BSNL MOBILENaNNaNPunjabNaNNaNNaNNaNNaN22506
308909.190000e+11BSNL MOBILENaNNaNAndhra Pradesh inNaNNaNNaNNaNNaN13183
65179.180000e+11BSNL MOBILENaNNaNAndhra PradeshNaNNaNNaNNaNNaN7704
308889.190000e+11BSNL MOBILENaNNaNAndhra PradeshNaNNaNNaNNaNNaN6977
65199.180000e+11BSNL MOBILENaNNaNKeralaNaNNaNNaNNaNNaN3806
31419.170000e+11BSNL MOBILENaNNaNAndhra Pradesh inNaNNaNNaNNaNNaN1457
31409.170000e+11BSNL MOBILENaNNaNAndhra PradeshNaNNaNNaNNaNNaN1423
229539.190000e+11BSNL MOBILERaviNaNAndhra PradeshNaNNaNNaNNaNNaN553
138149.190000e+11BSNL MOBILEJyothiNaNAndhra PradeshNaNNaNNaNNaNNaN489
223779.190000e+11BSNL MOBILERameshNaNAndhra PradeshNaNNaNNaNNaNNaN455